Yuzo Maruyama
- Statistics and Probability top 2%
- Artificial Intelligence
- Endocrinology, Diabetes and Metabolism
- Surgery
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Edward I. GeorgeWilliam E. StrawdermanTakashi YamadaIchiro KomiyaMasanobu KotaniRyōji KobayashiYoichi KoizumiHajime Goto
- Topics
- Advanced Statistical Methods and Models (21 papers)Statistical Methods and Inference (17 papers)Statistical Methods and Bayesian Inference (13 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Yuzo Maruyama
36 papers receiving 320 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 217
- Artificial Intelligence 67
- Endocrinology, Diabetes and Metabolism 46
- Surgery 42
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Yuzo Maruyama
This map shows the geographic impact of Yuzo Maruyama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuzo Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuzo Maruyama more than expected).
Fields of papers citing papers by Yuzo Maruyama
This network shows the impact of papers produced by Yuzo Maruyama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuzo Maruyama. The network helps show where Yuzo Maruyama may publish in the future.
Co-authorship network of co-authors of Yuzo Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yuzo Maruyama. A scholar is included among the top collaborators of Yuzo Maruyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuzo Maruyama. Yuzo Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | A g-prior extension for p>n | 2 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | Minimax Admissible Estimation of a Multivariate Normal Mean and Improvement upon the James-Stein Estimator | 3 |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 4 | |
| 20 | [Section staining technique for whole body autoradiographic studies of the mice]. | 1 |
About Yuzo Maruyama
Yuzo Maruyama is a scholar working on Statistics and Probability, Microbiology and Statistics, Probability and Uncertainty, having authored 40 papers that have together received 346 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (21 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Statistics and Probability (217 citations), Statistics, Probability and Uncertainty (27 citations) and Pharmaceutical Science (22 citations). Yuzo Maruyama has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Edward I. George, William E. Strawderman, Takashi Yamada, Ichiro Komiya, Masanobu Kotani, Ryōji Kobayashi, Yoichi Koizumi, Hajime Goto, Yasuhito Sasaki and Hiroyasu Ogata. Their work appears in journals such as IEEE Transactions on Information Theory, The American Journal of Medicine and Biometrika.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.